AutoGen Training in the UAE

AutoGen is an open-source framework from Microsoft designed for creating multi-agent applications that leverage LLMs, tools, memory, and user interaction.

This instructor-led, live training (available online or onsite) is tailored for advanced-level developers and architects who aim to design and deploy highly customized agents using AutoGen’s Python-based APIs, function-calling capabilities, and modular toolchains.

By the end of this training, participants will be able to:

• Create custom agents with role-specific logic and efficient tool routing.
• Develop dynamic workflows through advanced function calling and context switching.
• Incorporate memory modules and planning frameworks into agent teams.
• Manage multi-agent error states and implement adaptive retry mechanisms.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AutoGen Studio acts as a visual platform that empowers users to design and manage LLM-driven multi-agent workflows without requiring any coding expertise.

This live, instructor-led training, offered both online and onsite, is tailored for business and innovation professionals at beginner to intermediate levels. It aims to equip them with the skills to leverage AutoGen Studio for visually creating, testing, and refining agent interactions, whether for internal automation or the development of AI-powered products.

Upon completion of the training, participants will be able to:

• Construct multi-agent workflows using an intuitive, no-code interface.

• Define agent roles, prompts, and objectives directly within AutoGen Studio.

• Visually monitor and manage communication flows between agents.

• Implement error handling and enhance context management within agent logic.

Format of the Course

The programme blends interactive lectures with guided discussions, supported by a diverse range of exercises and practical activities, including hands-on sessions conducted in a live lab environment.

Course Customization Options

For organisations looking to tailor this training to their specific requirements, please contact us to arrange a customised programme.

AutoGen for Enterprise AI Automation is an interactive course designed to help professionals implement scalable and intelligent agent systems for automating complex business operations using the AutoGen framework.

This instructor-led, live training (available online or onsite) is tailored for intermediate to advanced AI professionals who aim to deploy multi-agent architectures across enterprise platforms and processes using the AutoGen framework.

By the end of this training, participants will be able to:

• Design and automate enterprise workflows with AutoGen and LLM agents.
• Integrate AutoGen with LangChain for advanced orchestration and context management.
• Construct RAG pipelines and link them to enterprise data for contextual automation.
• Connect agents to enterprise platforms such as Slack, Jira, and SharePoint.
• Scale and monitor AutoGen deployments in production environments.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Building LLM Agent Systems with AutoGen is a hands-on course focused on developing multi-agent systems using Microsoft’s AutoGen framework for large language models (LLMs).

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI and automation professionals who wish to design, implement, and orchestrate multi-agent systems using AutoGen with Python and LLMs.

By the end of this training, participants will be able to:

• Design multi-agent architectures using the AutoGen framework.
• Configure agent roles, capabilities, and coordination behaviors.
• Use function-calling and memory handling for agent interactions.
• Build and test Python-based LLM agent workflows for real use cases.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This 1-day workshop, designed for developers, data scientists, and AI enthusiasts, will help you understand and harness the power of agentic AI systems using AutoGen v0.4.

Through a mix of hands-on exercises and practical demonstrations, you’ll learn how to build, manage, and deploy multi-agent applications powered by Large Language Models (LLMs).

By the end of the course, you'll gain a solid foundation in AutoGen’s layered architecture, master asynchronous communication between agents, and explore real-world use cases and best practices for developing scalable and intelligent LLM-driven applications.